mlflow-demo-live

conda create -n mlflow-demo-env python=3.10 -y
conda activate mlflow-demo-env
pip install -r requirements.txt

mlflow models serve -m /Users/nachiketh/Desktop/author-repo/mlflow-demo-live/mlruns/0/a37bb40c1862493fb214de40f045b9f7/artifacts/model --port 9000

curl -X POST -H "Content-Type:application/json; format=dataframe_split" --data '{"columns":["alcohol", "chlorides", "citric acid", "density", "fixed acidity", "free sulfur dioxide", "pH", "residual sugar", "sulphates", "total sulfur dioxide", "volatile acidity"],"data":[[12.8, 0.029, 0.48, 0.98, 6.2, 29, 3.33, 1.2, 0.39, 75, 0.66]]}' http://127.0.0.1:9000/invocations